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Automatic Reconstruction of Unknown 3D Objects Based on the Limit Visual Surface and Trend Surface

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Intelligent Robotics and Applications (ICIRA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5928))

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Abstract

This paper presents a new planning approach of generating unknown 3-D models automatically. The new algorithm incorporates the limit visual surfaces with the trend surfaces and selects the suitability of viewpoints as the NBV on scanning coverage. The limit visual surfaces and trend surfaces are modelled by means of the known boundary region data obtained from initial view. The optimal design method is used to obtain the maximal visible area of next viewpoint and correspondding pose parameters in left and right planning process respectively. And the position that can obtain the maximal visible area is defined as the next best view position. The reconstrcted result of real model showes that the method is effective in practical implementation.

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering & Automation Fuzhou University, Fuzhou, China

    Xiaolong Zhou & Bingwei He

  2. State key laboratory of precision measuring technology and instruments, Tianjin University, Tianjin, China

    Bingwei He

  3. Department of Manufacturing Engineering and Engineering Management City, University of Hong Kong, Hong Kong

    Y. F. Li

Authors
  1. Xiaolong Zhou
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  2. Bingwei He
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  3. Y. F. Li
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Editor information

Editors and Affiliations

  1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore

    Ming Xie

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, P. R. China

    Youlun Xiong

  3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, P.R. China

    Caihua Xiong

  4. Institute of Industrial Research, University of Portsmouth, PO1 3QL, Portsmouth, UK

    Honghai Liu

  5. Department of Computer Science and Electrical Engineering, Kumamoto University, 860-8555, Kumamoto, Japan

    Zhencheng Hu

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhou, X., He, B., Li, Y.F. (2009). Automatic Reconstruction of Unknown 3D Objects Based on the Limit Visual Surface and Trend Surface. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_121

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  • DOI: https://doi.org/10.1007/978-3-642-10817-4_121

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10816-7

  • Online ISBN: 978-3-642-10817-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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